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Analysis and Classification of Noise Sources of Conveyor Systems by Sound Visualizing on the Postal Package Sorting Line

机译:邮件分拣线上可视化声音对输送系统噪声源的分析和分类

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Sound visualization tools are now widely used in industry. As a tool, acoustic cameras are also well suitable for faster identification of errors as well as individual states when operating devices. The aim of this paper was to locate and quantify noise sources on a packet sorting line using an acoustic camera and then to propose noise reduction measures. Localization of noise sources was performed by an acoustic camera with a microphone ring array. The result of these measurements and analyzes was to sort the individual noise sources from less noisy to the noisiest, which gives a good assumption for better planning of spending on the implementation of noise reduction measures. The outputs of these measurements also give information on the character and frequency composition of the sound of individual sources, which will help out in the design of specific noise measures.
机译:声音可视化工具现已在工业中广泛使用。作为一种工具,声学摄像机也非常适合于在操作设备时更快地识别错误以及各个状态。本文的目的是使用声学相机在数据包分拣线上找到并量化噪声源,然后提出降低噪声的措施。噪声源的定位是通过带有麦克风环阵列的声学相机执行的。这些测量和分析的结果是将各个噪声源从低噪声到高噪声进行了分类,这为更好地计划实施降噪措施的支出提供了良好的假设。这些测量的输出还提供有关各个来源的声音的特征和频率组成的信息,这将有助于设计特定的噪声措施。

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